a university administration system for students and faculty to manage schedules and coursework
Estimated monthly cost at the usage scale below — billed by actual usage
80 req/s
Peak Concurrency
1.62 GB
Database Storage
93.75 GB
Object Storage
What is this app
This university administrative management system enables approximately 15,000 students to view class schedules and locations, check in for attendance, and submit assignments. Students can also interact with an AI customer service chatbot for inquiries about school policies. The system supports academic workflow integrity with assignment file retention for 30 days and integrated teacher management features.
As a student, I want to view my class schedule and classroom locations so that I can attend classes on time.
As a student, I want to check in for attendance before class so that my presence is recorded.
As a student, I want to submit my assignments through the system so that they can be graded.
As a student, I want to chat with an AI assistant to get answers about school policies.
As a teacher, I want to create assignments and schedule sessions for my students.
As an administrator, I want to manage the policy documents that the AI uses to answer questions.
15000
student_user
Standard students who view schedules, check in, and submit work.
1000
teacher_user
Faculty members who manage assignments and view attendance.
200
administrator_user
Staff who manage system settings and school policy data.
Requirements to minimum viable plan to cost
Momen doesn't give a vague quote: it first sizes the project's actual demand for each capability and resource, then costs each item out.
The numbers in the "Project demand" column below — their scale assumptions and derivations — are detailed in Scale & sizing.
Minimum viable plan
BASIC
The project requires multiple workflows, long-term availability, and a custom domain for an official university system, which are all satisfied by the BASIC plan.
See the capability-by-capability assessment ▾
PROJECT DEMAND
ALLOWANCE PROVIDED (COMPOSITION)
Basic
Basic
(Plan tier: BASIC)
39
single-tenant kit
80 req/s
single-tenant kit × 1
(plan/kit 155 req/s)
Covered by plan/kit (margin ~94%)
120
Database storage add-on
21.70 GB
10GB × 2/year, amortized monthly
(plan/kit 2.20 GB + add-on +19.50 GB)
Add-on fills +19.50 GB gap beyond plan/kit
16.67
Object storage
add-on
100.66 GB
100GB × 1/year, amortized monthly
(plan/kit 52.00 GB + add-on +48.66 GB)
Add-on fills +48.66 GB gap beyond plan/kit
2.92
Outbound data transfer add-on
0 B/mo
not purchased
(plan/kit 52.00 GB/mo)
No requirement
0
AI points add-on
1.0M points
6,000,000 AI Points × 1/month
(plan/kit 7.0M points + add-on +42K points)
Add-on fills +42K points gap beyond plan/kit
10
plan + add-ons · usage-based · no development cost
Your options for this project
In the table below, the "monthly infrastructure" for the self-built / AI routes is derived from the AWS list prices shown below, sized against this project's actual usage.
2 × t4g.large × 730h
EC2 t4g.large → 98.11
2 × db.m6g.large (Multi-AZ) × 730h
RDS PostgreSQL db.m6g.large → 232.14
1.74 GB-month
RDS gp3 storage → 0.2
100.66 GB-month
S3 Standard → 2.32
0.00 GB (first 100GB free)
Internet egress → 0
Total ≈ $332.77 / mo
Pure cloud resources
DEVELOPMENT COST
MONTHLY CLOUD INFRA ($/MO)
MONTHLY TOTAL
(INFRA + OPS)
Traditional outsourcing / self-built
≈ $333
Per AWS usage sizing above
≈ $2333
Infra $333 + ops ~$2,000
4-6 months
5 / 5
AI coding (Cursor, etc.)
≈ $333
Per AWS usage sizing above
≈ $1833
Infra $333 + ops ~$1,500
3-6 weeks
5 / 5
AI full-stack generators (Lovable/Bolt/v0)
≈ $333
Per AWS usage sizing above
≈ $1833
Infra $333 + ops ~$1,500
hours
3 / 5
Off-the-shelf SaaS / vertical solution
N/A
≈ $16,000+
Per-seat pricing, tens of thousands of users
days
1 / 5
Momen
Recommended
$189
All-in: egress / storage / auto-scaling included
$189
hours
5 / 5
Servers, databases, traffic and storage are inherent infrastructure costs for this project — you pay them whether you outsource, use Cursor or Lovable, or build it yourself (self-built runs ≈ $441/mo at AWS list prices, often more), plus the extra dev and ops staff. Momen bundles all of it into $368/mo all-in and removes the need for an ops team.
The frontend can be generated with AI tools (Cursor, Lovable, etc.); the hard part is the backend — auth, database, scaling, data security and ops. Momen delivers a production-grade backend as a BaaS: keep the vibe-coding speed on the frontend, while the backend runs on proven infrastructure — reliable, with no self-hosting or ops.
What scale this estimate assumes, and how the numbers are derived
Cost depends heavily on usage volume. First see the key assumptions and business scenarios this estimate uses, then the full calculation derived from each scenario for every resource — all adjustable to your real situation.
The school has 15,000 students. We estimate 1,000 teachers (1:15 ratio) and 200 administrative/support staff to manage the platform, totaling 16,200 users.
University systems are typically migration projects where a full year of academic data (schedules, grades, attendance) is immediately relevant or accumulated during a standard academic cycle. Therefore, we use 365 days to represent a fully loaded year of data.
Morning Class Arrival Peak
Standard Academic Daytime Activity
Assignment Deadline Rush
Faculty and Admin Operations
88
times/month
This scene represents the high-concurrency 'check-in' window that occurs just before class starts. We assume 4 major class-start blocks per day on 22 weekdays per month (88 occurrences). The 300-second duration reflects the typical 5-minute window students have to mark themselves present as they enter the classroom.
Main impact: Peak Concurrency
The scenarios above set the assumptions for each resource; below is the full calculation based on those assumptions. Click to expand each item.
How this app works
What exactly does this budget support? Broken down by business scenario, showing the pages, data tables, automation flows and AI
assistant behind each one.
Students checking their daily class schedule and classroom locations.
The process of a student checking in for a specific class session.
Students viewing assignment requirements and uploading their finished work.
Students inquiring about school policies via the AI chatbot.
Teachers creating new assignments for their students.
Administrators updating school policy documentation for the AI chatbot.
page
data_table
ai_agent
action_flow
Student Dashboard
Main dashboard for students to view their daily schedule and check in for class.
Assignment List Page
List of assignments available for the student.
Assignment Detail Page
Detailed view of an assignment with a submission portal.
AI Chatbot View
Interface for students to chat with the AI school advisor.
Teacher Management View
Management portal for teachers to create assignments and sessions.
Admin Settings Page
Settings page for administrators to update school policies.
What you might want to know about this project
The Q&A below is generated by AI based on this project's type, features and scale.
What is the expected user scale of the system?
What factors drive storage consumption?
How does the AI customer service affect resource usage?
Copy to discuss with AI
Challenge & re-estimate